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Post #24: Redefining tech recruitment in the AI era
How is Generative AI affecting recruitment and how to adapt to these changes?
During a recent conversation with a peer, they highlighted a very interesting point - All the candidates applying for our roles in recent times have been acing their tests and none of them have done poorly.
Sounds too good to be true? Well, it is!
Upon digging deeper, we learned that the majority of the assessment tests that were taken recently had a very heavy ChatGPT influence i.e. Generative AI did all the heavy lifting.
That got us thinking - In today’s era of Generative AI and LLM’s, how efficient are today’s assessment and interview methods? How do you separate the good from the average? How do you adapt your interviewing process to discover and hire the right people?
Adapting your technical assessments and interviews for the AI era🤖
To help find answers to these burning questions, Nikunj Verma (Co-founder, Cutshort), Sachin Gupta (Co-founder, HackerEarth), and Sachin Mittal (Co-founder, InterviewVector) are getting together to discuss "How to adapt your technical assessments and interviews for the age of AI” and (of course) you’re invited.🙌
100+ TA folks, Engineering managers, and founders from fast-growing companies like INDmoney, ShareChat, Clevertap, and more have already signed up. Save your spot before we run out!
Using Generative AI to boost your hiring🚀
While there are some disruptions being created by Generative AI, this revolution has also opened up new possibilities for solving some interesting problems.
One such possibility is using Generative AI to improve the sourcing quality of the candidates you’re looking for.
Presenting Role Context Search!
Say goodbye to old-school search methods and make way for LLM-powered role context search by Cutshort!
Until now, keyword search has been your primary source of scouting for folks with a very particular skill set. However, the results were never 100% accurate.
For example, you might be looking for a ‘Data Engineer who is proficient in Python’. As a first step, you’ll use Python as a keyword to search for these folks. But then, you very quickly realize that these folks use Python but are more into Fullstack or ML engineering.
But now, with Cutshort’s role context search feature, our LLM modules will read your Job Description, understand the context of the role, and match you only with candidates that are as niche as - “Data Engineers from product companies with 3+ years of experience with Python”.
Read more about the Role Context Search feature and how you can onboard it into your hiring process!
Special feature: Cutshort’s 8th-year anniversary comes with some added benefits!
8 years! That’s quite a long time and we have come a really long way!
While we at HQ are gearing up for the celebration and planning our next offsite, here’s a quick update we’d like to share -
Cutshort is now available on a post-paid plan!🥳
You read that right!
As a special treat for our 8th year anniversary, we are offering post-paid plans for companies that prefer them.
Check out this article to know more details about our post-paid models!
That’s all the updates we have for you this week. See you next week with more exciting updates!